Title
An iterative method for solving the inverse problem in electrocardiography imaging: From body surface to heart potential
Abstract
Solving the inverse problem in electrocardiography imaging (ECGI) is a challenging problem. In this work, we present an ECGI solver based on the iterative Kozlov-Maz'ya-Fomin (KMF) method. Because of the lack of gold standards data for this problem, we propose to test this method on synthetical data generated based on the bidomain state-of-the-art model. We segmented a real geometry of a 43 years old women and produced a computational geometry on which we run the forward problem body surface potentials BSPs. We analyse the reconstructed solution using the Relative error in time and space, the correlation coefficient and phase mapping procedure.
Year
Venue
Keywords
2014
CinC
bioelectric potentials,computational geometry,electrocardiography,image reconstruction,inverse problems,iterative methods,medical image processing,bsp,ecgi solver,kmf,bidomain model,correlation coefficient,electrocardiography imaging,forward problem body surface potentials,gold standard data,inverse problem,iterative kozlov-maz'ya-fomin method,phase mapping procedure,real geometry segmentation,reconstructed solution,relative error,synthetical data,gold,heart,electric potential,mathematical model,torso
Field
DocType
Volume
Correlation coefficient,Torso,Applied mathematics,Mathematical optimization,Iterative method,Computational geometry,Spacetime,Inverse problem,Solver,Approximation error,Mathematics
Conference
41
ISSN
Citations 
PageRank 
2325-8861
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Nejib Zemzemi14212.17
Bourenane, H.200.34
Cochet, H.300.34